Matt Bornstein

A reference architecture for the LLM app stack. It shows the most common systems, tools, and design patterns used by AI startups and tech companies.

Rajko Radovanovic is an investing partner on the infrastructure team at Andreessen Horowitz.

The generative AI boom is compute-bound and, as a result, a predominant factor driving the industry is simply the cost of training and inference.

Svix is making better webhooks, which are important as applications move toward event-driven architectures and responsive, low-latency experiences.

Open source AI models should be available and easy to use. Replicate helps developers get up and running on LMs with zero machine learning work or hosting.

We’re starting to see the very early stages of a tech stack emerge in generative artificial intelligence (AI). Hundreds of new startups are rushing into the market to develop foundation models, build AI-native apps, and stand up infrastructure/tooling. Many hot technology trends get over-hyped far before the market catches up. But the generative AI boom...

Generative AI will have a massive impact in the software industry and beyond. The goal of this post is to map out the market dynamics and business models.